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MCP server · Science

Weclaw

Bridge WeChat to AI agents like Claude, Codex, and Gemini for automated chat replies and account management

34Low

Scored 7 days ago · breakdown

About Weclaw

Weclaw is an MCP server in the Science category: bridge WeChat to AI agents like Claude, Codex, and Gemini for automated chat replies and account management.

The repository has 1 stars and 0 forks.

Install

From source
git clone https://github.com/tomeai/weclaw

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Ask AI about Weclaw

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Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

WeClaw

英文 中文

WeClaw is an open-source MCP & Skills Marketplace — discover, publish, and debug MCP servers and AI skills in real time. Connect them to your AI agents via a hosted proxy layer, all from a unified web UI.

Features

  • MCP & Skills Marketplace — Browse and search public MCP servers and AI skills by category
  • Real-time Debugging — Test and debug MCP tools and skills directly in the browser with live feedback
  • One-click Import — Add any stdio / SSE / Streamable-HTTP server from a config snippet or npm/pip package
  • Auto Compilation — Automatically connects to the server, introspects tools / prompts / resources, and persists the metadata
  • Hosted Proxy — Wraps local stdio servers into a remotely-accessible HTTP endpoint (no client-side runtime required)
  • Agent Chat — Built-in chat interface backed by CopilotKit + AG-UI; interact with your servers directly in the browser
  • GitHub OAuth — Sign in with GitHub; servers can be public or private
  • Admin Panel — Review, approve, and recommend servers; manage users and categories
  • i18n — Chinese / English interface

Tech Stack

Layer Technology
Frontend Next.js 15, React, Tailwind CSS, Radix UI, CopilotKit
Backend Python 3.10+, FastAPI, Celery, SQLAlchemy 2, Alembic
Database MySQL 8 (PostgreSQL also supported)
Cache / Queue Redis
Proxy Caddy 2
MCP Runtime fastmcp, mcp SDK

Prerequisites

Requirement Minimum
CPU 4 virtual cores
RAM 8 GB
Docker 19.03.9+
Docker Compose 1.25.1+

Quick Start

git clone https://github.com/tomeai/weclaw.git
cd weclaw

# Copy and edit the environment file
cp backend/deploy/.env.server.example backend/deploy/.env.server

# Start all services
cd docker
docker compose up -d

Development

Development

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Weclaw

How do I install Weclaw?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Weclaw safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Weclaw still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.